
Operations Research
A Model-Based Approach
Springer (Publisher)
2nd Edition
Published on 14. December 2012
Book
Paperback/Softback
XIII, 446 pages
978-3-642-31053-9 (ISBN)
Article exhausted; check for reprint
Description
The book covers the standard models and techniques used in decision making in organizations. The main emphasis of the book is on modeling business-related scenarios and the generation of decision alternatives. Fully solved examples from many areas are used to illustrate the main concepts without getting bogged down in technical details. The book presents an approach to operations research that is heavily based on modeling and makes extensive use of sensitivity analyses. It is a result of many years of combined teaching experience of the authors.
The second edition adds new material on multi-criteria optimization, postman problems, Lagrangian relaxation, cutting planes, machine scheduling, and Markov chains. Support material is found on a free website and includes some algorithms, additional fully solved problems and slides for instructors.
The second edition adds new material on multi-criteria optimization, postman problems, Lagrangian relaxation, cutting planes, machine scheduling, and Markov chains. Support material is found on a free website and includes some algorithms, additional fully solved problems and slides for instructors.
More details
Product info
Book
Series
Edition
2nd ed. 2013
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Upper undergraduate
Edition type
Revised edition
Illustrations
187 s/w Abbildungen
XIII, 446 p. 187 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
706 gr
ISBN-13
978-3-642-31053-9 (9783642310539)
DOI
10.1007/978-3-642-31054-6
Schweitzer Classification
Other editions
New editions

Book
06/2022
3rd Edition
Springer
€85.59
Shipment within 7-9 days
Additional editions

E-Book
12/2012
2nd Edition
Springer
€85.59
Available for download
Previous edition

Book
05/2010
Springer
€53.45
Article exhausted; check for reprint
Persons
Content
Introduction.- Linear Programming.- Multi objective Programming.- Integer Linear Programming.- Network Models.- Location Models.- Project Networks.- Maschine Scheduling.- Decision Analysis.- Multi criteria Decision Analysis.- Inventory Models.- Stochastik Processes and Markov Chains.- Waiting Line Models.- Simulation.